This project analyzes how digital technologies (DTs) affect non-pecuniary (NP) work conditions and hence job satisfaction and occupational choices of different socio-demographic groups (women and immigrants). One of the goals of the project is to deepen our understanding of how new DTs affect the joint evolution of wage and working conditions. The importance of this issue has recently been magnified by the COVID-19 crisis, as many employers and workers have dramatically increased their use of DTs in order to promote remote work and limit human contact in the workplace. Little is known about the impact of this radical re-organization on working conditions and wellbeing at work. The impact of NP working conditions on job satisfaction, happiness, career prospects and employer-employee relationships has already been analyzed by economists, psychologists and sociologists. However, these works do not consider how DTs affect the evolving nature of these relationships. By exploiting large and nationally representative databases containing very rich personal and local information, we will be able to accurately identify the effect of diffusion of DTs on work conditions as well as its impact on the relationship between NP work conditions and wages, on job satisfaction and occupational sorting. The project is structured around four research focus. The first defines the NP indicators of work conditions. It studies the relationship between the degree of digitalization and the evolution in work conditions over the past decades particularly following the COVID-19 pandemic. It also analyzes if DTs have modified how workers and firms trade-off wages for working conditions. The second research focus analyzes how NP work conditions affect job satisfaction and whether DTs have affected the relationship between the two. This research axis also studies the effects of the recent pandemic on job satisfaction. The third research focus analyzes the influence of DTs on occupational choices of women versus men through the impact of DTs on NP working conditions. Moreover, the COVID-19 pandemic is likely to have changed the relationship between DTs and NP working conditions, and this has probably influenced the occupational choices of men and women. The fourth research focus investigates whether DT diffusion affects differently the relationship between wages and NP work conditions indicators for immigrants with respect to natives. It also analyzes differences in occupational sorting of natives and immigrants before and after the pandemic by relating their occupational choices to a telework probability indicator as well as to NP work conditions indicators.